1. Based on your understanding of relevant class discussions and CANVAS lecture notes,
a. Use SPSS to calculate the appropriate average for each of the following regions from
the Dataset: Eastern Europe and Central Asia, Middle East and North Africa, Europe, and
East Asia and the Pacific.
Note that you must generate region scores using the following values to
represent the four regions in column A of the Dataset: Eastern Europe and
Central Asia = Eastern Europe and Central Asia, Middle East and North Africa =
Middle East and North Africa, Europe = Europe, and East Asia and the Pacific =
East Asia and the Pacific
2. In at least 200 total words, explain whether Region in column A of the Dataset is a nominal,
ordinal, interval, or ratio variable.
Defend your explanation as clearly as possible based on relevant Lecture notes on
CANVAS.
3. Based on Dataset For Computer Homework_Midterm Exam_Final Exam.xlsx in the Computer
Homework Module under the Modules tab on CANVAS and based on the relevant class
discussions, the relevant Lecture notes, and the relevant assigned chapter,
a. use SPSS to calculate (i) the mean, (ii) the median, (iii) the mode, (iv) the range, (v) the
standard deviation, (vi) the coefficient of variation, (vii) the variance, and (viii) an
histogram for the Life Expectancy scores (in column D of the Dataset) for Middle East
and North Africa
b. use SPSS to calculate (i) the mean, (ii) the median, (iii) the mode, (iv) the range, (v) the
standard deviation, (vi) the coefficient of variation, (vii) the variance, and (viii) an
histogram for the Life Expectancy scores (in column D of the Dataset) Sub-Saharan
Africa
c. use SPSS to calculate (i) the mean, (ii) the median, (iii) the mode, (iv) the range, (v) the
standard deviation, (vi) the coefficient of variation, (vii) the variance, and (viii) an
histogram for the Life Expectancy scores (in column D of the Dataset) Latin America and
Caribbean
d. use SPSS to calculate (i) the mean, (ii) the median, (iii) the mode, (iv) the range, (v) the
standard deviation, (vi) the coefficient of variation, (vii) the variance, and (viii) an
histogram for the Life Expectancy scores (in column D of the Dataset) East Asia and the
Pacific

4. Based on chapters 2 and 3 in Salkind, Neil J. Statistics for People Who (Think They) Hate
Statistics (5th ed.). (Thousand Oaks, CA: Sage, 2014); and chapters 6 and 7 in Berman, Evan M.
and XiaoHu Wang. Essential Statistics for Public Managers and Policy Analysts (3rd ed.). (Los
Angeles, CA: Sage/CQ Press, 2012),
a. Clearly compare in at least 200 total words (i) the means and (ii) standard deviations of
the four regions (Middle East and North Africa, Sub-Saharan Africa, Latin America and
Caribbean, and East Asia and the Pacific) in your SPSS outputs for Question 3 above.
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b. In at least 100 total words, clearly explain the region with the most representative
mean.
Note that most of the Life Expectancy scores of the region with the most
representative mean must be clustered most closely around that region’s mean,
as evident in that region’s histogram. The standard deviation for that same
region must be greatly small.
c. Do the following with the help of course material:
i. In at least 70 total words, compare and discuss the coefficient of variations of
the four regions (Middle East and North Africa, Sub-Saharan Africa, Latin
America and Caribbean, and East Asia and the Pacific) in your SPSS outputs for
Question 3 above.
ii. In at least 70 total words, explain the region with the most representative
mean based on the comparison of the coefficient of variations in 4 (ci) above.
iii. In at least 50 total words, describe how your current conclusion is different
from your conclusion for Question 4(b) above when you based your judgment
solely on the means and the standard deviations of the four regions (Middle
East and North Africa, Sub-Saharan Africa, Latin America and Caribbean, and
East Asia and the Pacific).
Note that when samples (regions in your case) have different means on a ratio
scale, it is misleading to use the standard deviations of the samples to
determine the sample with the most representative mean. Instead, the
coefficient of variation is more meaningful when samples have different means
and are measured in different units on a ratio scale. So the sample with the
most representative mean must have the lowest coefficient of variation.

 

 

 

 

 

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